Social media affordances and information abundance: Enabling fake news sharing during the COVID-19 health crisis

Heuristic Information Processing as a Mediating Factor in the Process of Exposure to COVID-19 Vaccine Information and Misinformation Sharing on Social Media

Social media use for risk communication during the COVID-19 pandemic has caused considerable concerns about an overabundance of information, particularly misinformation. However, how exposure to COVID-19 information on social media can lead to subsequent misinformation sharing during the pandemic has received little research attention. This study adopted the social amplification of risk framework to delineate how exposure to COVID-19 vaccine information on social media can be associated with individuals' misinformation sharing through heuristic information processing. The role of social media trust was also examined. Results from an online survey (N = 1488) of Chinese Internet users revealed that exposure to COVID-19 vaccine information on social media was associated with misinformation sharing, mediated by both affect heuristics (i.e., negative affect toward the COVID-19 pandemic in general) and availability heuristics (i.e., perceived misinformation availability). Importantly, both high and low levels of trust in social media strengthened the mediating associations. While a low level of trust strengthened the association between exposure to COVID-19 vaccine information on social media and the affect heuristics, a high level of trust strengthened its association with the availability heuristics, both of which were associated with misinformation sharing. Our findings suggest that heuristic information processing is essential in amplifying the spread of misinformation after exposure to risk information on social media. It is also suggested that individuals should maintain a middle level of trust in social media, being open while critical of risk information on social media.

Predictors of the willingness to accept a free COVID-19 vaccine among households in Nigeria

BACKGROUND

To inform vaccination policy and programmatic strategies to increase COVID-19 vaccine uptake, an understanding of the factors associated with the willingness to vaccinate is needed.

METHODS

We analyzed data collected from the sixth and tenth round of the Nigerian COVID-19 National Longitudinal Phone Survey conducted by the National Bureau of Statistics and the World Bank in 2020 and 2021, respectively. Exploratory data analysis and feature selection techniques were used to identify important variables. Multivariable logistic regression models were fitted to assess the association between socio-demographic and economic factors and the willingness to receive a free COVID-19 vaccine among Nigerian households at two different time points before vaccines became widely available.

RESULTS

Data from 1,733 and 1,651 Nigerian households who completed the sixth and tenth round of the survey, respectively, were included. Most respondents (>85% of households) were willing to receive a free COVID-19 vaccine from both survey rounds. The median household size was 6 (IQR: [4, 8]) with females heading about 18% of the households. Approximately 22% of the household heads had not received any formal education. Compared to households whose head had no education, households whose heads had completed tertiary education or higher had significantly lower odds of willingness to be vaccinated (ORround 6: 0.46, 95% CI: [0.31, 0.68], ORround 10: 0.49, 95% CI: [0.34, 0.71]). An increasing proportion of male household members was associated with greater willingness to receive a free COVID-19 vaccine (ORround 6: 1.84, 95% CI: [1.01, 3.33], ORround 10: 5.25, 95% CI: [2.86, 9.65]). Significant associations with vaccine willingness were also observed across geopolitical zones of residence with households in South-East Nigeria (ORround 6: 0.16, 95% CI: [0.10, 0.24]; ORround 10: 0.29, 95% CI: [0.19, 0.43]) and South-South Nigeria (ORround 6: 0.57, 95% CI: [0.36, 0.90], ORround 10: 0.32, 95% CI: [0.22, 0.48]) less likely to be willing to receive a free vaccine compared to households in North-Central Nigeria.

CONCLUSION

These findings from two different time points before vaccine roll-out suggest that the educational level of household head, proportion of male household members, and the geopolitical zone of residence are important baseline predictors of the willingness to receive a free COVID-19 vaccine in Nigeria. These factors should be carefully considered and specifically targeted when designing public health programs to inform early-stage strategies that address underlying vaccine hesitancy, improve vaccine uptake, promote ongoing COVID-19 vaccination efforts, and potentially enhance other immunization programs in Nigeria.

Have we found a solution for health misinformation? A ten-year systematic review of health misinformation literature 2013-2022

BACKGROUND

Health misinformation (HM) has emerged as a prominent social issue in recent years, driven by declining public trust, popularisation of digital media platforms and escalating public health crisis. Since the Covid-19 pandemic, HM has raised critical concerns due to its significant impacts on both individuals and society as a whole. A comprehensive understanding of HM and HM-related studies would be instrumental in identifying possible solutions to address HM and the associated challenges.

METHODS

Following the PRISMA procedure, 11,739 papers published from January 2013 to December 2022 were retrieved from five electronic databases, and 813 papers matching the inclusion criteria were retained for further analysis. This article critically reviewed HM-related studies, detailing the factors facilitating HM creation and dissemination, negative impacts of HM, solutions to HM, and research methods employed in those studies.

RESULTS

A growing number of studies have focused on HM since 2013. Results of this study highlight that trust plays a significant while latent role in the circuits of HM, facilitating the creation and dissemination of HM, exacerbating the negative impacts of HM and amplifying the difficulty in addressing HM.

CONCLUSION

For health authorities and governmental institutions, it is essential to systematically build public trust in order to reduce the probability of individuals acceptation of HM and to improve the effectiveness of misinformation correction. Future studies should pay more attention to the role of trust in how to address HM.

Users' unverified information-sharing behavior on social media: The role of reasoned and social reactive pathways

Unverified or false information spread by irresponsible users can amplify the dissemination of fake news or misinformation. This phenomenon may not only undermine the credibility of social media platforms but also pose severe consequences for individuals and society. This study applies and extends the prototypical willingness model with the aim of comprehending the reasons, and decision-making process driving users' unverified information-sharing behavior a reasoned and intended pathway or an impulsive and unconscious one. Data from a sample of 646 users were analyzed using Structural Equation Modeling to assess the determinative effect of both the reasoned pathway (attitude toward unverified information-sharing, subjective norm, and perceived behavioral control) and the social-reaction pathway (prototype favorability and similarity). Findings highlight the substantial role of the social-reaction pathway in forecasting users' unverified information-sharing behavior, with prototype similarity and attitude being the dominant predictors. Meanwhile, components of the reasoned pathway, specifically perceived behavior control, and attitude, also exhibited significant contributions toward predicting the behavior. In summary, while a deliberate, reasoned process has some influence, the sharing of unverified information on social media by users is primarily an intuitive, spontaneous response to specific online circumstances. This study therefore offers valuable insights that could aid relevant stakeholders in effectively regulating the spread of misinformation. Against this backdrop, highlighting potential risks associated with sharing unverified information and the negative portrayal of users propagating misinformation may contribute to the development of a more critical perspective toward online information sharing by users themselves.

Political news on Instagram: influencer versus traditional magazine and the role of their expertise in consumers' credibility perceptions and news engagement

Introduction

Social networking sites (SNS) are increasingly used by consumers to read and share political news. In this context, Instagram plays an important role due to its prevalence and visual characteristics. However, previous research has highlighted that consumers fail to identify the source of online news, though source characteristics were shown to be vital for news credibility perceptions. Nevertheless, research on whether and which source characteristics have an influence on Instagram consumers' credibility perceptions and news engagement intentions are lacking. The present study addresses this empirical gap by investigating potential effects of source expertise and source type on source credibility, message credibility, news engagement intentions, and personal involvement regarding political news on Instagram.

Method

We randomly presented participants with political news posts from one of four sources, either the Instagram representation of a fictional news magazine or influencer with or without political expertise. Participants assessed the perceived credibility of the source and the news, their news engagement intentions, and personal involvement.

Results

We analyzed data from 416 participants. Results showed significant main effects of source expertise on each of the dependent variables. Those were shown to be indirect effects through personal involvement. There were hardly any effects of source type.

Discussion

These results provide new insights into the role of source expertise on credibility perceptions and news engagement intentions, and provide insights into the comparison between influencers and Instagram representations of traditional news magazines. Theoretical implications for future research and practical implications for content creators, users, and SNS platforms are discussed.

Overcome the fragmentation in online propaganda literature: the role of cultural and cognitive sociology

Evidence concerning the proliferation of propaganda on social media has renewed scientific interest in persuasive communication practices, resulting in a thriving yet quite disconnected scholarship. This fragmentation poses a significant challenge, as the absence of a structured and comprehensive organization of this extensive literature hampers the interpretation of findings, thus jeopardizing the understanding of online propaganda functioning. To address this fragmentation, I propose a systematization approach that involves utilizing Druckman's Generalizing Persuasion Framework as a unified interpretative tool to organize this scholarly work. By means of this approach, it is possible to systematically identify the various strands within the field, detect their respective shortcomings, and formulate new strategies to bridge these research strands and advance our knowledge of how online propaganda operates. I conclude by arguing that these strategies should involve the sociocultural perspectives offered by cognitive and cultural sociology, as these provide important insights and research tools to disentangle and evaluate the role played by supra-individual factors in the production, distribution, consumption, and evaluation of online propaganda.

Social Representations of Hesitant Brazilians about Vaccination against COVID-19

BACKGROUND

The control of the COVID-19 pandemic has been a great challenge. Understanding the thoughts and beliefs underlying vaccine hesitancy can help in the formulation of public policies. The present study aimed to analyze the social representations of hesitant Brazilians about vaccination against COVID-19.

METHODS

Qualitative research guided by the Theory of Social Representations, carried out through an online survey among Brazilian adults living in Brazil. The data were analyzed using the IRaMuTeQ software.

RESULTS

Of the 173,178 respondents, 10,928 were hesitant and declared reasons for vaccination hesitation. The analysis generated three classes: mistrust of the vaccine and underestimation of the severity of the pandemic; (dis)information and distrust of political involvement; and fear of adverse reactions to COVID-19 vaccines.

CONCLUSIONS

Social knowledge, presented by the representations apprehended in this study, demonstrates difficulty in discerning the reliability of information and a social imagination full of doubts and uncertainties. Understanding the internal dynamics of these groups, with their representations of the world, is important to propose policies and actions that echo and cause changes in the understanding of the role of immunization. It is essential to shed light on the sociological imagination so that gaps filled with false information can be dismantled and confronted with scientific knowledge accessible to the population.

Avoiding real news, believing in fake news? Investigating pathways from information overload to misbelief

This study sought to examine the potential role of news avoidance in belief in COVID-19 misinformation. Using two-wave panel survey data in Singapore, we found that information overload is associated with news fatigue as well as with difficulty in analyzing information. News fatigue and analysis paralysis also subsequently led to news avoidance, which increased belief in COVID-19 misinformation. However, this link is present only among those who are frequently exposed to misinformation about COVID-19.

Ability of detecting and willingness to share fake news

By conducting large-scale surveys in Germany and the United Kingdom, we investigate the individual-level determinants of the ability to detect fake news and the inclination to share it. We distinguish between deliberate and accidental sharing of fake news. We document that accidental sharing is much more common than deliberate sharing. Furthermore, our results indicate that older, male, high-income, and politically left-leaning respondents better detect fake news. We also find that accidental sharing decreases with age and is more prevalent among right-leaning respondents. Deliberate sharing of fake news is more prevalent among younger respondents in the United Kingdom. Finally, our results imply that respondents have a good assessment of their ability to detect fake news: those we identified as accidental sharers were also more likely to have admitted to having shared fake news.

The intrinsic and extrinsic factors predicting fake news sharing among social media users: the moderating role of fake news awareness

Research on fake news is growing, yet the relative influence of different factors on fake news sharing and how it can be reduced are still understudied. To fill this gap, this study treats user motivation and online environment as intrinsic and extrinsic factors and examines the role of fake news awareness as a prevention against the spread of fake news. This study describes the results of a Malaysian sample (N = 451) to determine the effects of intrinsic factor (altruism, information sharing, socialization and status seeking) and extrinsic factor (trust in network, homophily, norm of reciprocity and tie strength) on fake news sharing using Partial Least Square (PLS). Unlike past research, we treated the two main factors as higher order-constructs. Our findings revealed a stronger appeal of online environment than user motivation in determining fake news sharing among social media users in Malaysia. We also found that high fake news awareness determined low fake news sharing. This result suggests the importance of fake news awareness as an intervention strategy to curtail the spread of fake news. Future research is needed to build upon our findings to be tested at cross-cultural settings and also employ time series analysis to better understand the effect of increasing awareness of fake news over time.

Taking a Shot: The Impact of Information Frames and Channels on Vaccination Willingness in a Pandemic

The reluctance of people to receive safe and recommended available vaccines is a well-documented public health challenge. As information and communication technologies evolve, this challenge gets more complex and even harder to manage during complex public health situations. In this experimental study, we examine the relationship between vaccine information frames (with scientific information vs. without scientific information) and channels (through government vs. religious organizations) and vaccination willingness in the U.S. in the context of a pandemic. Additionally, we evaluate the interaction between vaccine skepticism, vaccine information frames, and vaccine information channels on vaccination willingness. This experimental study uses data from Amazon Mechanical Turk (MTURK) to evaluate the relationships between vaccine skepticism, vaccine information frames, and channels on vaccination willingness. We find that contrary to our hypothesis, a vaccine advisory framed with scientific information decreases people's vaccination willingness compared to one framed without scientific information. Additionally, the impact of framing on vaccination willingness is conditioned on participants' skepticism-participants who hold skepticism toward the vaccine but received information framed with scientific information score significantly higher in vaccination willingness compared to participants who do not hold skepticism toward a vaccine. The results suggest that the factors impacting vaccination willingness are complex and nuanced. Thus, policymakers should be more strategic with the delivery of vaccination information, especially during complex health crises.

A systematic review of worldwide causal and correlational evidence on digital media and democracy

One of today's most controversial and consequential issues is whether the global uptake of digital media is causally related to a decline in democracy. We conducted a systematic review of causal and correlational evidence (N = 496 articles) on the link between digital media use and different political variables. Some associations, such as increasing political participation and information consumption, are likely to be beneficial for democracy and were often observed in autocracies and emerging democracies. Other associations, such as declining political trust, increasing populism and growing polarization, are likely to be detrimental to democracy and were more pronounced in established democracies. While the impact of digital media on political systems depends on the specific variable and system in question, several variables show clear directions of associations. The evidence calls for research efforts and vigilance by governments and civil societies to better understand, design and regulate the interplay of digital media and democracy.

Impact of fake news on firm performance during COVID-19: an assessment of moderated serial mediation using PLS-SEM

Purpose

Fake news on social media about COVID-19 pandemic and its associated issues (e.g. lockdown) caused public panic that lead to supply chain (SC) disruptions, which eventually affect firm performance. The purpose of this study is to understand how social media fake news effects firm performance, and how to mitigate such effects.

Design/methodology/approach

Grounded on dynamic capability view (DCV), this study suggests that social media fake news effects firm performance via SC disruption (SCD) and SC resilience (SCR). Moreover, the relation between SCD and SCR is contingent upon SC learning (SCL) – a moderated mediation effect. To validate this complex model, the authors suggest effectiveness of using partial least squares structural equation modeling (PLS-SEM). Using an online survey, the results support the authors’ hypotheses.

Findings

The results suggest that social media fake news does not affect firm performance directly. However, the authors’ serial mediation test confirms that SCD and SCR sequentially mediate the relationship between social media fake news and firm performance. In addition, a moderated serial mediation test confirms that a higher level of SCL strengthens the SCD–SCR relationship.

Research limitations/implications

This work offers a new theoretical and managerial perspective to understand the effect of fake news on firm performance, in the context of crises, e.g. COVID-19. In addition, this study offers the advancement of PLS as more robust for real-world applications and more advantageous when models are complex.

Originality/value

Prior studies in the SC and marketing domain suggest different effects of social media fake news on consumer behavior (e.g. panic buying) and SCD, respectively. This current study is a unique effort that investigates the ultimate effect of fake news on firm performance with complex causal relationships via SCD, SCR and SCL.

Fake news on Facebook and their impact on supply chain disruption during COVID-19

Social media (SM) fake news has become a serious concern especially during COVID-19. In this study, we develop a research model to investigate to what extent SM fake news contributes to supply chain disruption (SCD), and what are the different SM affordances that contribute to SM fake news. To test the derived hypotheses with survey data, we have applied partial least square based structural equation modelling (PLS-SEM) technique. Further, to identify how different configurations of SC resilience (SCR) capabilities reduce SCD, we have used fuzzy set qualitative comparative analysis (fsQCA). The results show that SM affordances lead to fake news, which increases consumer panic buying (CPB); CPB in turn increases SCD. In addition, SM fake news directly increases SCD. The moderation test suggests that, SCR capability, as a higher-order construct, decreases the effect of CPB on SCD; however, neither of the capabilities individually moderates. Complimentarily, the fsQCA results suggest that no single capability but their three specific configurations reduce SCD. This work offers a new theoretical perspective to study SCD through SM fake news. Our research advances the knowledge of SCR from a configurational lens by adopting an equifinal means towards mitigating disruption. This research will also assist the operations and SC managers to strategize and understand which combination of resilience capabilities is the most effective in tackling disruptions during a crisis e.g., COVID-19. In addition, by identifying the relative role of different SM affordances, this study provides pragmatic insights into SM affordance measures that combat fake news on SM.

Study on the Vaccination of the Population of Romania against Monkeypox in Terms of Medical Security

Although it has been shown in numerous studies that immunization of the population by vaccination is the most effective way to protect against smallpox or other polioviruses, the anti-vaccination public rhetoric recorded during the COVID-19 pandemic is likely to influence the populations acceptance of vaccination against newly emerging viruses. This fact influenced our decision to study the vaccination of the Romanian population against the virus that causes monkeypox, aiming to identify the degree of compliance regarding the decision related to vaccination acceptance/non-acceptance/hesitation, based on the survey of a representative sample of respondents. The study is based on an online questionnaire completed between 1 July and 31 July 2022 by 820 individuals, aged 18 years or above, with a permanent residency in Romania. The study was undertaken in order to observe the attitudes of the respondents regarding the acceptance, refusal, or hesitation of vaccination against monkeypox. The sociological data resulting from the application of the questionnaire on 820 people highlighted that 97.16% were vaccinated with the vaccines of the national mandatory scheme and 53.32% were vaccinated with the optional vaccines (rotavirus vaccine, anti-hepatitis A, meningococcal vaccine, etc.). Although 47.13% of respondents considered monkeypox to be a real problem facing humanity today, only 26.37% of those surveyed expressed their fear of becoming infected, and 29.30% were willing to immunize themselves against the virus by vaccination. Only 19.59% of respondents believed that the monkeypox disease will generate a new global pandemic, while 31.86% considered pandemics to be a human security issue, and 30.28% expressed their desire to accept a reduction in some rights and freedoms, in the short term, for the adoption of institutional measures to combat a possible pandemic caused by monkeypox. The study clearly highlights the fact that monkeypox is perceived as a threat to the health of the population, with relatively low acceptance of conspiracy theories regarding its origins/manifestation/consequences among respondents (between 21.7% and 28.9%). The vaccination of the population against monkeypox is strongly influenced by the validity of the results obtained over time, in the vaccination campaigns against the smallpox virus (vaccine found in the mandatory vaccination scheme in Romania until 1979). We believe that the negative public rhetoric regarding the COVID-19 vaccination is likely to negatively influence monkeypox vaccination. Although specialized studies and practical results showed that the immunization of the population through vaccination represents an important vector in the prevention/management of pandemic-type issues, we believe that a national pro-vaccination campaign, based on scientific evidence, can lead the population to accept vaccination when the epidemiological context requires it. We also believe that a culture of health security needs to be developed among citizens to raise awareness of the role of vaccines as an important vector in the field of population health.

A comparative analysis of anti-vax discourse on twitter before and after COVID-19 onset

This study aimed to identify and assess the prevalence of vaccine-hesitancy-related topics on Twitter in the periods before and after the Coronavirus Disease 2019 (COVID-19) outbreak. Using a search query, 272,780 tweets associated with anti-vaccine topics and posted between 1 January 2011, and 15 January 2021, were collected. The tweets were classified into a list of 11 topics and analyzed for trends during the periods before and after the onset of COVID-19. Since the beginning of COVID-19, the percentage of anti-vaccine tweets has increased for two topics, “government and politics” and “conspiracy theories,” and decreased for “developmental disabilities.” Compared to tweets regarding flu and measles, mumps, and rubella vaccines, those concerning COVID-19 vaccines showed larger percentages for the topics of conspiracy theories and alternative treatments, and a lower percentage for developmental disabilities. The results support existing anti-vaccine literature and the assertion that anti-vaccine sentiments are an important public-health issue.

Information overload and misinformation sharing behaviour of social media users: Testing the moderating role of cognitive ability

Sharing of misinformation on social media platforms is a global concern, with research offering little insight into the motives behind such sharing. Drawing from the cognitive load theory and literature on cognitive ability, we developed and tested a research model hypothesising why people share misinformation. We also tested the moderating role of cognitive ability. We obtained data from 385 social media users in Nigeria using a chain referral technique with an online questionnaire as the instrument for data collection. Our findings suggest that information overload and social media fatigue are strong predictors of misinformation sharing. Information stress also contributed to misinformation sharing behaviour. Furthermore, cognitive ability moderated and weakened the effect information strain and information overload have on misinformation sharing in such a way that this effect is more pronounced among those with low cognitive ability. This indicates that those with low cognitive ability have a higher tendency to share misinformation. However, cognitive ability had no effect on the effect social media fatigue has on misinformation sharing behaviour. The study concluded with some theoretical and practical implications.

Infodemic and fake news - A comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: A scoping review

The spread of fake news increased dramatically during the COVID-19 pandemic worldwide. This study aims to synthesize the extant literature to understand the magnitude of this phenomenon in the wake of the pandemic in 2021, focusing on the motives and sociodemographic profiles, Artificial Intelligence (AI)-based tools developed, and the top trending topics related to fake news. A scoping review was adopted targeting articles published in five academic databases (January 2021-November 2021), resulting in 97 papers. Most of the studies were empirical in nature (N = 69) targeting the general population (N = 26) and social media users (N = 13), followed by AI-based detection tools (N = 27). Top motives for fake news sharing include low awareness, knowledge, and health/media literacy, Entertainment/Pass Time/Socialization, Altruism, and low trust in government/news media, whilst the phenomenon was more prominent among those with low education, males and younger. Machine and deep learning emerged to be the widely explored techniques in detecting fake news, whereas top topics were related to vaccine, virus, cures/remedies, treatment, and prevention. Immediate intervention and prevention efforts are needed to curb this anti-social behavior considering the world is still struggling to contain the spread of the COVID-19 virus.

The double-edged sword of social media usage during the COVID-19 pandemic: demographical and cultural analyses

Purpose

This exploratory research aims to (1) investigate the bright and dark sides of social media use during the COVID-19 pandemic; (2) explore the impact of demographic factors on social media usage; and (3) assess the effects of cultural dimensions on social media usage.

Design/methodology/approach

The data are collected through an online survey. Factors derived from grounded theories and models such as affordance theory and Hofstede's cultural framework were considered. Spearman correlation and nonparametric analysis were used to test the hypotheses.

Findings

The results revealed that social media usage was positively associated with healing and affiliation, and negatively associated with self-control. There are also positive associations between social media usage and sharing information related to COVID-19 without verification, perceived reliability of COVID-19 information on social media and relapse. The impact of demographic and cultural factors indicated significant effects of gender, age, marital status, educational level, power distance and collectivism on social media usage, sharing information, perceived information reliability, healing and affiliation.

Originality/value

This study contributes to technology affordances by examining social media's positive and negative affordances in a new context (COVID-19 pandemic). From the positive side, this study explores the use of social media for healing and affiliation. As for the negative impact of social media during the pandemic, this study assesses the user's addiction to social media use (relapse) and perception of the social media information reliability and information sharing without verification. It is among few research endeavors conducted in a non-Western country. This study also examines the influence of demographic and cultural factors on social media users. The results provide insights for both researchers and policymakers regarding social media usage.

Parental COVID-19 Vaccine Hesitancy for Children in Romania: National Survey

PURPOSE

Once vaccination against COVID-19 was also possible for children over 12 years of age, parents/legal guardians had to give their consent for their vaccination. It is a crucial moment, given the large number of infected people in Romania and the fact that these children are a source of transmission of the virus in the community. The refusal or hesitation of the parents/legal guardians, regarding the agreement for the vaccination of the children, determined us to focus on this subject, wishing, based on the questioning of as many parents as possible, to extract the reasons underlying these decisions.

METHODS

This study is designed to observe the attitudes of parents/legal guardians regarding the refusal, hesitation, or acceptance of vaccination of children. The persons targeted to answer the questionnaire had to meet three conditions: to be at least 21 years old, to have a stable residence in Romania, and to be parents/legal guardians of at least one child under 18 years of age. The questionnaire was applied online to a number of 581 parents/legal guardians, being structured to obtain socio-demographic data and other categories of data that allow us to analyze their views on vaccinating children.

RESULTS

Sociological data resulting from the application of the questionnaire on 581 parents/legal guardians show that 183 (31.5%) adults and 140 (24.1%) children got infected with COVID-19. The total number of respondents shows that only 411 (70.7%) adults and 185 (31.8%) children are vaccinated.

CONCLUSIONS

From the analysis of the data obtained through the questionnaire, following the application of the Kendall and Spearman statistical analysis tests, it is found that there is a strong link between participants' trust/distrust in "fake news" information and their decision to vaccinate their children.

How Do People Decide on Getting Vaccinated? Evaluating the COVID-19 Vaccination Program through the Lens of Social Capital Theory

The COVID-19 pandemic has disrupted economies at a scale unprecedented in recent history, and vaccination is deemed the only option to ultimately halt its spread. However, vaccine hesitancy remains a global issue that must be addressed. If left unaddressed, it will impede the recovery of both the economy and public health following the pandemic. To better understand the issue, on the premise that individuals have layers of social ties to achieve common goals, social capital theory is proposed to examine the social connections associated with vaccine acceptance. A case study of the Republic of the Philippines’ vaccination program, in the form of an online survey involving 430 participants, was conducted using logistic binomial regression to analyze the data. Findings reveal that people’s vaccination decisions are influenced by their perceptions of their social ties regarding the vaccines, such as the perceptions one’s social ties’ trust in the vaccines, safety of use, benefits vaccines can offer, the role of media in information dissemination, and the influence of social networks. Insights regarding these findings are also discussed.

Study on the Refusal of Vaccination against COVID-19 in Romania

The refusal to be inoculated with the anti-COVID-19 vaccine by a part of the Romanian population becomes a barrier against controlling and stopping this particularly infectious virus. The rapid evolution of COVID-19 vaccines has created confusion regarding health and safety. Many Romanian citizens refuse vaccination because of fears generated by uncertainties based on information obtained from fake news. At the present moment, January 2022, Romania has one of the lowest vaccination rates in the European Union, below 45% of the total population. In our study, we want to identify the determining factors behind the refusal of vaccination, offering a sociological analysis that, we hope, will help to understand this phenomenon. The analysis revealed that 81% of the respondents trust the mandatory vaccines under the national scheme and 57.3% trust the optional ones other than the anti-COVID-19 vaccines (like Rotavirus, Hepatitis A and B, Influenza, Meningococcal, Pneumococcal, etc.) and have less confidence in the anti-COVID-19 vaccines. The study also reveals a very high percentage of respondents who trust fake news claims.

Machine Learning in Detecting COVID-19 Misinformation on Twitter

Social media platforms such as Facebook, Instagram, and Twitter are an inevitable part of our daily lives. These social media platforms are effective tools for disseminating news, photos, and other types of information. In addition to the positives of the convenience of these platforms, they are often used for propagating malicious data or information. This misinformation may misguide users and even have dangerous impact on society’s culture, economics, and healthcare. The propagation of this enormous amount of misinformation is difficult to counter. Hence, the spread of misinformation related to the COVID-19 pandemic, and its treatment and vaccination may lead to severe challenges for each country’s frontline workers. Therefore, it is essential to build an effective machine-learning (ML) misinformation-detection model for identifying the misinformation regarding COVID-19. In this paper, we propose three effective misinformation detection models. The proposed models are long short-term memory (LSTM) networks, which is a special type of RNN; a multichannel convolutional neural network (MC-CNN); and k-nearest neighbors (KNN). Simulations were conducted to evaluate the performance of the proposed models in terms of various evaluation metrics. The proposed models obtained superior results to those from the literature.